Christoph Mayr‐Dorn
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Software top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Schahram DustdarAlexander EgyedDaniel SchallAtif MashkoorRichard N. TaylorFlorian SkopikDavid Fernández-AmorósRubén Heradio
- Topics
- Software Engineering Research (31 papers)Advanced Software Engineering Methodologies (17 papers)Service-Oriented Architecture and Web Services (16 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Christoph Mayr‐Dorn
69 papers receiving 373 citations
Peers
Comparison fields: 5 of 51
- Information Systems 221
- Artificial Intelligence 138
- Computer Networks and Communications 123
- Software 77
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Christoph Mayr‐Dorn
This map shows the geographic impact of Christoph Mayr‐Dorn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christoph Mayr‐Dorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Mayr‐Dorn more than expected).
Fields of papers citing papers by Christoph Mayr‐Dorn
This network shows the impact of papers produced by Christoph Mayr‐Dorn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christoph Mayr‐Dorn. The network helps show where Christoph Mayr‐Dorn may publish in the future.
Co-authorship network of co-authors of Christoph Mayr‐Dorn
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Mayr‐Dorn. A scholar is included among the top collaborators of Christoph Mayr‐Dorn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christoph Mayr‐Dorn. Christoph Mayr‐Dorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | A Flexible Approach Towards Self-Adapting Process Recommendations | 5 |
| 16 | Mapping Software Architecture Styles and Collaboration Patterns for Engineering Adaptive Mixed Systems | 5 |
| 17 | 1 | |
| 18 | inContext: On coupling and sharing context for collaborative teams | 1 |
| 19 | 1 | |
| 20 | 2 |
About Christoph Mayr‐Dorn
Christoph Mayr‐Dorn is a scholar working on Software, Information Systems and Industrial and Manufacturing Engineering, having authored 75 papers that have together received 400 indexed citations. Recurring topics across this work include Software Engineering Research (31 papers), Advanced Software Engineering Methodologies (17 papers) and Service-Oriented Architecture and Web Services (16 papers). The work is most often cited by research in Software (77 citations), Information Systems (221 citations) and Computer Science Applications (41 citations). Christoph Mayr‐Dorn has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Schahram Dustdar, Alexander Egyed, Daniel Schall, Atif Mashkoor, Richard N. Taylor, Florian Skopik, David Fernández-Amorós, Rubén Heradio, Michael Vierhauser and Jane Cleland‐Huang. Their work appears in journals such as IEEE Access, IEEE Software and Journal of Systems and Software.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.